Staff Machine Learning Engineer
Core
Set technical direction for building, serving, and operating high-throughput, low-latency machine learning systems in production for restaurant discovery, recommendations, and marketplace optimization.
Role type
Staff Machine Learning Engineer (Production Systems & Architecture)
Builds
Production ML services, AI agents, and agentic platforms for restaurant search and partner insights.
Domain
Hospitality technology, AI/ML, Marketplace optimization
Deliverable
production ML models
Required skills
Production ML system architecture, Distributed systems design, Python, Strongly typed languages (Java), Cloud platform expertise (AWS/GCP/Azure), MLOps ownership, Technical leadership, Cross-team problem scoping
Preferred skills
LLM serving infrastructure, Ranking/Recommendations/NLP/Agentic systems, Kubernetes at scale, ETL/Data warehouse infrastructure, A/B testing design
Technologies
PyTorch, XGBoost, LangChain, Spark, Airflow, Kubernetes, Kafka, Postgres, FastAPI, Docker
Responsibilities
Define standards and patterns for ML system architecture and deployment; Own production ML services from design through operation; Establish engineering standards for testing, CI/CD, and observability; Scope and prioritize ambiguous cross-team problems with stakeholders.
Seniority
Staff, technical leadership & architecture
